Reporte

Dataset statistics

Number of variables	14
Number of observations	5002
Missing cells	1816
Missing cells (%)	2.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.2 MiB
Average record size in memory	665.9 B

Variable types

DateTime	1
Categorical	5
Numeric	8

Alerts

`Ruta` has a high cardinality: 4119 distinct values	High cardinality
`OperadOR` has a high cardinality: 2267 distinct values	High cardinality
`route` has a high cardinality: 3837 distinct values	High cardinality
`ac_type` has a high cardinality: 2462 distinct values	High cardinality
`summary` has a high cardinality: 4851 distinct values	High cardinality
`all_aboard` is highly overall correlated with `PASAJEROS A BORDO` and 3 other fields	High correlation
`PASAJEROS A BORDO` is highly overall correlated with `all_aboard` and 3 other fields	High correlation
`crew_aboard` is highly overall correlated with `all_aboard` and 3 other fields	High correlation
`cantidad de fallecidos` is highly overall correlated with `all_aboard` and 4 other fields	High correlation
`passenger_fatalities` is highly overall correlated with `all_aboard` and 2 other fields	High correlation
`crew_fatalities` is highly overall correlated with `crew_aboard` and 1 other fields	High correlation
`route` has 759 (15.2%) missing values	Missing
`PASAJEROS A BORDO` has 219 (4.4%) missing values	Missing
`crew_aboard` has 217 (4.3%) missing values	Missing
`passenger_fatalities` has 233 (4.7%) missing values	Missing
`crew_fatalities` has 233 (4.7%) missing values	Missing
`summary` has 59 (1.2%) missing values	Missing
`ground` is highly skewed (γ1 = 48.95716288)	Skewed
`Ruta` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`PASAJEROS A BORDO` has 866 (17.3%) zeros	Zeros
`cantidad de fallecidos` has 76 (1.5%) zeros	Zeros
`passenger_fatalities` has 1037 (20.7%) zeros	Zeros
`crew_fatalities` has 398 (8.0%) zeros	Zeros
`ground` has 4710 (94.2%) zeros	Zeros

Reproduction

Analysis started	2023-05-23 15:31:15.881832
Analysis finished	2023-05-23 15:31:38.144324
Duration	22.26 seconds
Software version	ydata-profiling vv4.1.2
Download configuration	config.json

fecha
Date

Distinct	4571
Distinct (%)	91.4%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Minimum	1915-03-05 00:00:00
Maximum	2021-07-06 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Ruta
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4119
Distinct (%)	82.4%
Missing	5
Missing (%)	0.1%
Memory size	419.8 KiB

Moscow, Russia	16
Manila, Philippines	15
New York, New York	14
Cairo, Egypt	13
Sao Paulo, Brazil	13
Other values (4114)	4926

Length

Max length	72
Median length	49
Mean length	20.808685
Min length	5

Characters and Unicode

Total characters	103981
Distinct characters	90
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3683 ?
Unique (%)	73.7%

Sample

1st row	Tienen, Belgium
2nd row	Off Cuxhaven, Germany
3rd row	Near Jambol, Bulgeria
4th row	Billericay, England
5th row	Potters Bar, England

Common Values

Value	Count	Frequency (%)
Moscow, Russia	16	0.3%
Manila, Philippines	15	0.3%
New York, New York	14	0.3%
Cairo, Egypt	13	0.3%
Sao Paulo, Brazil	13	0.3%
Bogota, Colombia	12	0.2%
Rio de Janeiro, Brazil	12	0.2%
Chicago, Illinois	11	0.2%
Near Moscow, Russia	11	0.2%
Tehran, Iran	10	0.2%
Other values (4109)	4870	97.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
near	1349	9.2%
off	350	2.4%
russia	255	1.7%
new	228	1.6%
brazil	176	1.2%
colombia	153	1.0%
canada	130	0.9%
france	126	0.9%
california	117	0.8%
mexico	113	0.8%
Other values (4150)	11636	79.5%

Most occurring characters

Value	Count	Frequency (%)
a	13024	12.5%
	9689	9.3%
e	7062	6.8%
i	6555	6.3%
n	6538	6.3%
r	6022	5.8%
o	5362	5.2%
,	5204	5.0%
l	3997	3.8%
s	3525	3.4%
Other values (80)	37003	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	74010	71.2%
Uppercase Letter	14718	14.2%
Space Separator	9690	9.3%
Other Punctuation	5351	5.1%
Dash Punctuation	103	0.1%
Decimal Number	66	0.1%
Control	21	< 0.1%
Open Punctuation	11	< 0.1%
Close Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13024	17.6%
e	7062	9.5%
i	6555	8.9%
n	6538	8.8%
r	6022	8.1%
o	5362	7.2%
l	3997	5.4%
s	3525	4.8%
t	3103	4.2%
u	2753	3.7%
Other values (31)	16069	21.7%

Uppercase Letter

Value	Count	Frequency (%)
N	2029	13.8%
C	1453	9.9%
S	1144	7.8%
M	998	6.8%
B	951	6.5%
A	919	6.2%
P	787	5.3%
I	720	4.9%
R	652	4.4%
O	586	4.0%
Other values (17)	4479	30.4%

Decimal Number

Value	Count	Frequency (%)
0	24	36.4%
1	15	22.7%
2	9	13.6%
5	8	12.1%
8	3	4.5%
3	2	3.0%
7	2	3.0%
9	2	3.0%
6	1	1.5%

Other Punctuation

Value	Count	Frequency (%)
,	5204	97.3%
.	115	2.1%
'	24	0.4%
/	6	0.1%
&	1	< 0.1%
:	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	9689	> 99.9%
	1	< 0.1%

Control

Value	Count	Frequency (%)
	16	76.2%
	5	23.8%

Dash Punctuation

Value	Count	Frequency (%)
-	103	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	11	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88728	85.3%
Common	15253	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13024	14.7%
e	7062	8.0%
i	6555	7.4%
n	6538	7.4%
r	6022	6.8%
o	5362	6.0%
l	3997	4.5%
s	3525	4.0%
t	3103	3.5%
u	2753	3.1%
Other values (58)	30787	34.7%

Common

Value	Count	Frequency (%)
	9689	63.5%
,	5204	34.1%
.	115	0.8%
-	103	0.7%
0	24	0.2%
'	24	0.2%
	16	0.1%
1	15	0.1%
(	11	0.1%
)	11	0.1%
Other values (12)	41	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103939	> 99.9%
None	42	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13024	12.5%
	9689	9.3%
e	7062	6.8%
i	6555	6.3%
n	6538	6.3%
r	6022	5.8%
o	5362	5.2%
,	5204	5.0%
l	3997	3.8%
s	3525	3.4%
Other values (63)	36961	35.6%

None

Value	Count	Frequency (%)
é	14	33.3%
ö	5	11.9%
ó	4	9.5%
í	4	9.5%
á	2	4.8%
ï	2	4.8%
è	1	2.4%
ô	1	2.4%
à	1	2.4%
ä	1	2.4%
Other values (7)	7	16.7%

OperadOR
Categorical

Distinct	2267
Distinct (%)	45.4%
Missing	9
Missing (%)	0.2%
Memory size	412.1 KiB

Aeroflot	253
Military - U.S. Air Force	141
Air France	74
Deutsche Lufthansa	63
United Air Lines	44
Other values (2262)	4418

Length

Max length	65
Median length	47
Mean length	18.958342
Min length	3

Characters and Unicode

Total characters	94659
Distinct characters	87
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1734 ?
Unique (%)	34.7%

Sample

1st row	Military - German Navy
2nd row	Military - German Navy
3rd row	Military - German Army
4th row	Military - German Navy
5th row	Military - German Navy

Common Values

Value	Count	Frequency (%)
Aeroflot	253	5.1%
Military - U.S. Air Force	141	2.8%
Air France	74	1.5%
Deutsche Lufthansa	63	1.3%
United Air Lines	44	0.9%
Military - U.S. Army Air Forces	43	0.9%
China National Aviation Corporation	43	0.9%
Pan American World Airways	41	0.8%
American Airlines	37	0.7%
US Aerial Mail Service	35	0.7%
Other values (2257)	4219	84.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
air	1481	10.3%
	957	6.7%
airlines	840	5.8%
military	774	5.4%
force	557	3.9%
airways	453	3.2%
u.s	300	2.1%
aeroflot	265	1.8%
lines	184	1.3%
royal	152	1.1%
Other values (2079)	8415	58.5%

Most occurring characters

Value	Count	Frequency (%)
i	10203	10.8%
	9409	9.9%
r	8841	9.3%
a	7776	8.2%
e	6777	7.2%
n	5526	5.8%
A	5082	5.4%
o	4380	4.6%
l	4075	4.3%
s	4000	4.2%
Other values (77)	28590	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	68125	72.0%
Uppercase Letter	15056	15.9%
Space Separator	9410	9.9%
Dash Punctuation	935	1.0%
Other Punctuation	865	0.9%
Open Punctuation	115	0.1%
Close Punctuation	115	0.1%
Decimal Number	30	< 0.1%
Control	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	10203	15.0%
r	8841	13.0%
a	7776	11.4%
e	6777	9.9%
n	5526	8.1%
o	4380	6.4%
l	4075	6.0%
s	4000	5.9%
t	3916	5.7%
c	1996	2.9%
Other values (28)	10635	15.6%

Uppercase Letter

Value	Count	Frequency (%)
A	5082	33.8%
M	1213	8.1%
S	1136	7.5%
C	910	6.0%
F	901	6.0%
T	679	4.5%
L	661	4.4%
U	532	3.5%
P	512	3.4%
N	493	3.3%
Other values (16)	2937	19.5%

Decimal Number

Value	Count	Frequency (%)
0	5	16.7%
7	4	13.3%
4	4	13.3%
2	3	10.0%
5	3	10.0%
1	3	10.0%
8	2	6.7%
6	2	6.7%
9	2	6.7%
3	2	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	714	82.5%
/	109	12.6%
'	25	2.9%
,	10	1.2%
&	6	0.7%
?	1	0.1%

Space Separator

Value	Count	Frequency (%)
	9409	> 99.9%
	1	< 0.1%

Control

Value	Count	Frequency (%)
	6	75.0%
	2	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	935	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	115	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	115	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83181	87.9%
Common	11478	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	10203	12.3%
r	8841	10.6%
a	7776	9.3%
e	6777	8.1%
n	5526	6.6%
A	5082	6.1%
o	4380	5.3%
l	4075	4.9%
s	4000	4.8%
t	3916	4.7%
Other values (54)	22605	27.2%

Common

Value	Count	Frequency (%)
	9409	82.0%
-	935	8.1%
.	714	6.2%
(	115	1.0%
)	115	1.0%
/	109	0.9%
'	25	0.2%
,	10	0.1%
	6	0.1%
&	6	0.1%
Other values (13)	34	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94536	99.9%
None	123	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	10203	10.8%
	9409	10.0%
r	8841	9.4%
a	7776	8.2%
e	6777	7.2%
n	5526	5.8%
A	5082	5.4%
o	4380	4.6%
l	4075	4.3%
s	4000	4.2%
Other values (64)	28467	30.1%

None

Value	Count	Frequency (%)
é	102	82.9%
á	5	4.1%
à	2	1.6%
í	2	1.6%
ó	2	1.6%
ç	2	1.6%
ï	2	1.6%
ã	1	0.8%
ú	1	0.8%
ê	1	0.8%
Other values (3)	3	2.4%

route
Categorical

HIGH CARDINALITY MISSING

Distinct	3837
Distinct (%)	90.4%
Missing	759
Missing (%)	15.2%
Memory size	393.6 KiB

Training	96
Sightseeing	31
Test flight	22
Sao Paulo - Rio de Janeiro	7
Test	6
Other values (3832)	4081

Length

Max length	59
Median length	51
Mean length	22.174169
Min length	4

Characters and Unicode

Total characters	94085
Distinct characters	92
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3630 ?
Unique (%)	85.6%

Sample

1st row	Shuttle
2nd row	Venice Taliedo
3rd row	Paris - Hounslow
4th row	Washington - Newark
5th row	London - Paris

Common Values

Value	Count	Frequency (%)
Training	96	1.9%
Sightseeing	31	0.6%
Test flight	22	0.4%
Sao Paulo - Rio de Janeiro	7	0.1%
Test	6	0.1%
Rio de Janeiro - Sao Paulo	5	0.1%
Villavicencio - Mitu	4	0.1%
Bogota - Barranquilla	4	0.1%
Barranquilla - Bogota	4	0.1%
Croydon - Paris	4	0.1%
Other values (3827)	4060	81.2%
(Missing)	759	15.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	4633	27.5%
city	213	1.3%
new	149	0.9%
san	140	0.8%
york	117	0.7%
paris	116	0.7%
training	103	0.6%
de	101	0.6%
london	88	0.5%
moscow	84	0.5%
Other values (3628)	11078	65.9%

Most occurring characters

Value	Count	Frequency (%)
	12644	13.4%
a	9832	10.5%
n	5567	5.9%
o	5501	5.8%
i	5241	5.6%
e	5106	5.4%
-	4927	5.2%
r	4485	4.8%
l	3419	3.6%
s	3072	3.3%
Other values (82)	34291	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	62450	66.4%
Uppercase Letter	12939	13.8%
Space Separator	12645	13.4%
Dash Punctuation	4931	5.2%
Other Punctuation	1065	1.1%
Control	30	< 0.1%
Decimal Number	16	< 0.1%
Final Punctuation	4	< 0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9832	15.7%
n	5567	8.9%
o	5501	8.8%
i	5241	8.4%
e	5106	8.2%
r	4485	7.2%
l	3419	5.5%
s	3072	4.9%
t	3002	4.8%
u	2566	4.1%
Other values (30)	14659	23.5%

Uppercase Letter

Value	Count	Frequency (%)
C	1232	9.5%
B	1140	8.8%
S	1081	8.4%
A	1045	8.1%
M	1042	8.1%
P	823	6.4%
L	788	6.1%
T	709	5.5%
K	640	4.9%
N	631	4.9%
Other values (18)	3808	29.4%

Decimal Number

Value	Count	Frequency (%)
9	3	18.8%
4	3	18.8%
1	3	18.8%
7	2	12.5%
2	2	12.5%
8	1	6.2%
6	1	6.2%
0	1	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	915	85.9%
.	98	9.2%
/	20	1.9%
'	20	1.9%
?	6	0.6%
:	5	0.5%
\	1	0.1%

Space Separator

Value	Count	Frequency (%)
	12644	> 99.9%
	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	4927	99.9%
–	4	0.1%

Control

Value	Count	Frequency (%)
	29	96.7%
	1	3.3%

Final Punctuation

Value	Count	Frequency (%)
’	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	75389	80.1%
Common	18696	19.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9832	13.0%
n	5567	7.4%
o	5501	7.3%
i	5241	7.0%
e	5106	6.8%
r	4485	5.9%
l	3419	4.5%
s	3072	4.1%
t	3002	4.0%
u	2566	3.4%
Other values (58)	27598	36.6%

Common

Value	Count	Frequency (%)
	12644	67.6%
-	4927	26.4%
,	915	4.9%
.	98	0.5%
	29	0.2%
/	20	0.1%
'	20	0.1%
?	6	< 0.1%
:	5	< 0.1%
’	4	< 0.1%
Other values (14)	28	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	93956	99.9%
None	121	0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12644	13.5%
a	9832	10.5%
n	5567	5.9%
o	5501	5.9%
i	5241	5.6%
e	5106	5.4%
-	4927	5.2%
r	4485	4.8%
l	3419	3.6%
s	3072	3.3%
Other values (63)	34162	36.4%

None

Value	Count	Frequency (%)
é	38	31.4%
í	21	17.4%
á	15	12.4%
ó	14	11.6%
ü	6	5.0%
ã	6	5.0%
ç	4	3.3%
è	4	3.3%
Î	3	2.5%
ö	2	1.7%
Other values (7)	8	6.6%

Punctuation

Value	Count	Frequency (%)
’	4	50.0%
–	4	50.0%

ac_type
Categorical

Distinct	2462
Distinct (%)	49.3%
Missing	13
Missing (%)	0.3%
Memory size	407.9 KiB

Douglas DC-3	333
de Havilland Canada DHC-6 Twin Otter 300	81
Douglas C-47A	70
Douglas C-47	64
Douglas DC-4	41
Other values (2457)	4400

Length

Max length	42
Median length	36
Mean length	18.543997
Min length	4

Characters and Unicode

Total characters	92516
Distinct characters	77
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1857 ?
Unique (%)	37.2%

Sample

1st row	Zeppelin L-8 (airship)
2nd row	Zeppelin L-10 (airship)
3rd row	Schutte-Lanz S-L-10 (airship)
4th row	Zeppelin L-32 (airship)
5th row	Zeppelin L-31 (airship)

Common Values

Value	Count	Frequency (%)
Douglas DC-3	333	6.7%
de Havilland Canada DHC-6 Twin Otter 300	81	1.6%
Douglas C-47A	70	1.4%
Douglas C-47	64	1.3%
Douglas DC-4	41	0.8%
Antonov AN-26	35	0.7%
Yakovlev YAK-40	35	0.7%
Junkers JU-52/3m	30	0.6%
De Havilland DH-4	27	0.5%
Douglas DC-6B	27	0.5%
Other values (2452)	4246	84.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
douglas	1130	8.3%
boeing	418	3.1%
dc-3	387	2.8%
lockheed	332	2.4%
de	294	2.2%
havilland	292	2.1%
antonov	288	2.1%
canada	159	1.2%
otter	146	1.1%
ilyushin	142	1.0%
Other values (2522)	10011	73.6%

Most occurring characters

Value	Count	Frequency (%)
	8641	9.3%
-	5178	5.6%
e	4833	5.2%
o	4638	5.0%
a	4631	5.0%
n	3852	4.2%
l	3690	4.0%
i	3474	3.8%
r	3299	3.6%
C	3033	3.3%
Other values (67)	47247	51.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46357	50.1%
Uppercase Letter	17887	19.3%
Decimal Number	13806	14.9%
Space Separator	8642	9.3%
Dash Punctuation	5178	5.6%
Other Punctuation	264	0.3%
Open Punctuation	188	0.2%
Close Punctuation	187	0.2%
Math Symbol	3	< 0.1%
Control	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4833	10.4%
o	4638	10.0%
a	4631	10.0%
n	3852	8.3%
l	3690	8.0%
i	3474	7.5%
r	3299	7.1%
s	2912	6.3%
t	2354	5.1%
u	2216	4.8%
Other values (18)	10458	22.6%

Uppercase Letter

Value	Count	Frequency (%)
C	3033	17.0%
D	2818	15.8%
A	1901	10.6%
B	1727	9.7%
H	1016	5.7%
L	881	4.9%
F	795	4.4%
S	790	4.4%
I	639	3.6%
T	620	3.5%
Other values (16)	3667	20.5%

Decimal Number

Value	Count	Frequency (%)
2	2166	15.7%
0	2103	15.2%
1	2016	14.6%
3	1706	12.4%
4	1704	12.3%
7	1494	10.8%
6	875	6.3%
5	713	5.2%
8	664	4.8%
9	365	2.6%

Other Punctuation

Value	Count	Frequency (%)
/	185	70.1%
.	76	28.8%
,	2	0.8%
&	1	0.4%

Space Separator

Value	Count	Frequency (%)
	8641	> 99.9%
	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	5178	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	188	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	187	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64244	69.4%
Common	28272	30.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4833	7.5%
o	4638	7.2%
a	4631	7.2%
n	3852	6.0%
l	3690	5.7%
i	3474	5.4%
r	3299	5.1%
C	3033	4.7%
s	2912	4.5%
D	2818	4.4%
Other values (44)	27064	42.1%

Common

Value	Count	Frequency (%)
	8641	30.6%
-	5178	18.3%
2	2166	7.7%
0	2103	7.4%
1	2016	7.1%
3	1706	6.0%
4	1704	6.0%
7	1494	5.3%
6	875	3.1%
5	713	2.5%
Other values (13)	1676	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92497	> 99.9%
None	17	< 0.1%
Punctuation	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8641	9.3%
-	5178	5.6%
e	4833	5.2%
o	4638	5.0%
a	4631	5.0%
n	3852	4.2%
l	3690	4.0%
i	3474	3.8%
r	3299	3.6%
C	3033	3.3%
Other values (62)	47228	51.1%

None

Value	Count	Frequency (%)
é	12	70.6%
è	4	23.5%
	1	5.9%

Punctuation

Value	Count	Frequency (%)
‘	1	50.0%
’	1	50.0%

all_aboard
Real number (ℝ)

Distinct	244
Distinct (%)	4.9%
Missing	17
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	31.147242

Minimum	0
Maximum	644
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	7
median	16
Q3	35
95-th percentile	117.8
Maximum	644
Range	644
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	45.499656
Coefficient of variation (CV)	1.4607925
Kurtosis	23.92979
Mean	31.147242
Median Absolute Deviation (MAD)	11
Skewness	3.9190237
Sum	155269
Variance	2070.2187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	280	5.6%
2	245	4.9%
4	202	4.0%
5	189	3.8%
10	179	3.6%
6	174	3.5%
7	164	3.3%
1	137	2.7%
9	130	2.6%
11	128	2.6%
Other values (234)	3157	63.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
1	137	2.7%
2	245	4.9%
3	280	5.6%
4	202	4.0%
5	189	3.8%
6	174	3.5%
7	164	3.3%
8	119	2.4%
9	130	2.6%

Value	Count	Frequency (%)
644	1	< 0.1%
524	1	< 0.1%
517	1	< 0.1%
394	1	< 0.1%
393	1	< 0.1%
384	1	< 0.1%
356	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
340	1	< 0.1%

PASAJEROS A BORDO
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	234
Distinct (%)	4.9%
Missing	219
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	26.899645

Minimum	0
Maximum	614
Zeros	866
Zeros (%)	17.3%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	12
Q3	30
95-th percentile	111.9
Maximum	614
Range	614
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	44.047016
Coefficient of variation (CV)	1.6374572
Kurtosis	24.1706
Mean	26.899645
Median Absolute Deviation (MAD)	11
Skewness	3.93525
Sum	128661
Variance	1940.1397
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	866	17.3%
4	170	3.4%
2	162	3.2%
5	140	2.8%
3	130	2.6%
7	130	2.6%
9	128	2.6%
10	128	2.6%
8	126	2.5%
1	119	2.4%
Other values (224)	2684	53.7%
(Missing)	219	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	866	17.3%
1	119	2.4%
2	162	3.2%
3	130	2.6%
4	170	3.4%
5	140	2.8%
6	109	2.2%
7	130	2.6%
8	126	2.5%
9	128	2.6%

Value	Count	Frequency (%)
614	1	< 0.1%
509	1	< 0.1%
503	1	< 0.1%
381	1	< 0.1%
374	1	< 0.1%
364	1	< 0.1%
338	1	< 0.1%
335	1	< 0.1%
327	1	< 0.1%
316	1	< 0.1%

crew_aboard
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	34
Distinct (%)	0.7%
Missing	217
Missing (%)	4.3%
Infinite	0
Infinite (%)	0.0%
Mean	4.5216301

Minimum	0
Maximum	83
Zeros	7
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	83
Range	83
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.7586025
Coefficient of variation (CV)	0.83124944
Kurtosis	62.87587
Mean	4.5216301
Median Absolute Deviation (MAD)	2
Skewness	4.96181
Sum	21636
Variance	14.127093
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
3	954	19.1%
2	828	16.6%
4	694	13.9%
1	532	10.6%
5	513	10.3%
6	375	7.5%
7	244	4.9%
8	173	3.5%
9	115	2.3%
10	94	1.9%
Other values (24)	263	5.3%
(Missing)	217	4.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.1%
1	532	10.6%
2	828	16.6%
3	954	19.1%
4	694	13.9%
5	513	10.3%
6	375	7.5%
7	244	4.9%
8	173	3.5%
9	115	2.3%

Value	Count	Frequency (%)
83	1	< 0.1%
61	1	< 0.1%
49	1	< 0.1%
43	1	< 0.1%
41	1	< 0.1%
33	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
27	1	< 0.1%
25	4	0.1%

cantidad de fallecidos
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	199
Distinct (%)	4.0%
Missing	8
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	22.310773

Minimum	0
Maximum	583
Zeros	76
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	11
Q3	25
95-th percentile	85
Maximum	583
Range	583
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	35.01637
Coefficient of variation (CV)	1.5694826
Kurtosis	36.822466
Mean	22.310773
Median Absolute Deviation (MAD)	9
Skewness	4.6201663
Sum	111420
Variance	1226.1461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	381	7.6%
2	377	7.5%
3	363	7.3%
4	242	4.8%
5	234	4.7%
6	176	3.5%
7	160	3.2%
10	159	3.2%
13	132	2.6%
9	128	2.6%
Other values (189)	2642	52.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	76	1.5%
1	381	7.6%
2	377	7.5%
3	363	7.3%
4	242	4.8%
5	234	4.7%
6	176	3.5%
7	160	3.2%
8	128	2.6%
9	128	2.6%

Value	Count	Frequency (%)
583	1	< 0.1%
520	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
329	1	< 0.1%
301	1	< 0.1%
298	1	< 0.1%
290	1	< 0.1%
275	1	< 0.1%
271	1	< 0.1%

passenger_fatalities
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	190
Distinct (%)	4.0%
Missing	233
Missing (%)	4.7%
Infinite	0
Infinite (%)	0.0%
Mean	18.956385

Minimum	0
Maximum	560
Zeros	1037
Zeros (%)	20.7%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	21
95-th percentile	81
Maximum	560
Range	560
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	34.07517
Coefficient of variation (CV)	1.7975564
Kurtosis	36.929095
Mean	18.956385
Median Absolute Deviation (MAD)	8
Skewness	4.6447956
Sum	90403
Variance	1161.1172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1037	20.7%
1	307	6.1%
2	263	5.3%
3	193	3.9%
4	185	3.7%
5	139	2.8%
6	133	2.7%
7	126	2.5%
8	126	2.5%
9	118	2.4%
Other values (180)	2142	42.8%
(Missing)	233	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1037	20.7%
1	307	6.1%
2	263	5.3%
3	193	3.9%
4	185	3.7%
5	139	2.8%
6	133	2.7%
7	126	2.5%
8	126	2.5%
9	118	2.4%

Value	Count	Frequency (%)
560	1	< 0.1%
505	1	< 0.1%
335	1	< 0.1%
316	1	< 0.1%
307	1	< 0.1%
287	1	< 0.1%
283	1	< 0.1%
278	1	< 0.1%
258	1	< 0.1%
257	1	< 0.1%

crew_fatalities
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	28
Distinct (%)	0.6%
Missing	233
Missing (%)	4.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.5890124

Minimum	0
Maximum	43
Zeros	398
Zeros (%)	8.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	9
Maximum	43
Range	43
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.1775106
Coefficient of variation (CV)	0.88534402
Kurtosis	12.868381
Mean	3.5890124
Median Absolute Deviation (MAD)	2
Skewness	2.4992005
Sum	17116
Variance	10.096574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
2	892	17.8%
3	824	16.5%
1	770	15.4%
4	591	11.8%
5	401	8.0%
0	398	8.0%
6	273	5.5%
7	171	3.4%
8	130	2.6%
9	87	1.7%
Other values (18)	232	4.6%
(Missing)	233	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	398	8.0%
1	770	15.4%
2	892	17.8%
3	824	16.5%
4	591	11.8%
5	401	8.0%
6	273	5.5%
7	171	3.4%
8	130	2.6%
9	87	1.7%

Value	Count	Frequency (%)
43	1	< 0.1%
33	1	< 0.1%
27	1	< 0.1%
25	2	< 0.1%
23	6	0.1%
22	5	0.1%
21	2	< 0.1%
20	3	0.1%
19	5	0.1%
18	3	0.1%

ground
Real number (ℝ)

SKEWED ZEROS

Distinct	51
Distinct (%)	1.0%
Missing	44
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.7204518

Minimum	0
Maximum	2750
Zeros	4710
Zeros (%)	94.2%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.15
Maximum	2750
Range	2750
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	55.529088
Coefficient of variation (CV)	32.275876
Kurtosis	2420.877
Mean	1.7204518
Median Absolute Deviation (MAD)	0
Skewness	48.957163
Sum	8530
Variance	3083.4796
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4710	94.2%
1	63	1.3%
2	34	0.7%
3	21	0.4%
4	16	0.3%
5	12	0.2%
7	10	0.2%
8	9	0.2%
10	6	0.1%
6	6	0.1%
Other values (41)	71	1.4%
(Missing)	44	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4710	94.2%
1	63	1.3%
2	34	0.7%
3	21	0.4%
4	16	0.3%
5	12	0.2%
6	6	0.1%
7	10	0.2%
8	9	0.2%
9	1	< 0.1%

Value	Count	Frequency (%)
2750	2	< 0.1%
225	1	< 0.1%
125	2	< 0.1%
113	1	< 0.1%
87	1	< 0.1%
85	1	< 0.1%
78	1	< 0.1%
71	1	< 0.1%
63	1	< 0.1%
58	1	< 0.1%

summary
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	4851
Distinct (%)	98.1%
Missing	59
Missing (%)	1.2%
Memory size	1.4 MiB

Crashed under unknown circumstances.	9
Crashed while en route.	8
Crashed while attempting to land.	7
Crashed during takeoff.	6
Crashed into the sea.	5
Other values (4846)	4908

Length

Max length	2669
Median length	787
Mean length	223.39794
Min length	8

Characters and Unicode

Total characters	1104256
Distinct characters	101
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4807 ?
Unique (%)	97.2%

Sample

1st row	Crashed into trees while attempting to land after being shot down by British and French aircraft.
2nd row	Exploded and burned near Neuwerk Island, when hydrogen gas, being vented, was ignited by lightning.
3rd row	Crashed near the Black Sea, cause unknown.
4th row	Shot down by British aircraft crashing in flames.
5th row	Shot down in flames by the British 39th Home Defence Squadron.

Common Values

Value	Count	Frequency (%)
Crashed under unknown circumstances.	9	0.2%
Crashed while en route.	8	0.2%
Crashed while attempting to land.	7	0.1%
Crashed during takeoff.	6	0.1%
Crashed into the sea.	5	0.1%
Crashed shortly after taking off.	5	0.1%
Crashed on takeoff.	4	0.1%
Crashed under unknown circumstances	4	0.1%
Crashed en route.	4	0.1%
Shot down by rebel forces.	4	0.1%
Other values (4841)	4887	97.7%
(Missing)	59	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	18449	10.1%
of	5538	3.0%
a	5446	3.0%
and	5436	3.0%
to	5425	3.0%
in	3675	2.0%
crashed	3386	1.9%
was	2773	1.5%
aircraft	2556	1.4%
into	2356	1.3%
Other values (11551)	127814	69.9%

Most occurring characters

Value	Count	Frequency (%)
	179143	16.2%
e	104790	9.5%
t	81829	7.4%
a	79836	7.2%
n	68037	6.2%
i	65785	6.0%
r	63354	5.7%
o	62537	5.7%
h	42752	3.9%
s	39752	3.6%
Other values (91)	316441	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	868368	78.6%
Space Separator	179150	16.2%
Uppercase Letter	25255	2.3%
Other Punctuation	20590	1.9%
Decimal Number	8833	0.8%
Dash Punctuation	1642	0.1%
Close Punctuation	158	< 0.1%
Open Punctuation	140	< 0.1%
Final Punctuation	67	< 0.1%
Control	33	< 0.1%
Other values (4)	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	104790	12.1%
t	81829	9.4%
a	79836	9.2%
n	68037	7.8%
i	65785	7.6%
r	63354	7.3%
o	62537	7.2%
h	42752	4.9%
s	39752	4.6%
d	38361	4.4%
Other values (30)	221335	25.5%

Uppercase Letter

Value	Count	Frequency (%)
T	5791	22.9%
C	2773	11.0%
A	2576	10.2%
S	1527	6.0%
F	1284	5.1%
M	1206	4.8%
I	1062	4.2%
P	960	3.8%
W	922	3.7%
N	860	3.4%
Other values (16)	6294	24.9%

Other Punctuation

Value	Count	Frequency (%)
.	13466	65.4%
,	5709	27.7%
'	770	3.7%
"	362	1.8%
/	170	0.8%
:	56	0.3%
;	34	0.2%
&	17	0.1%
%	3	< 0.1%
#	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	2661	30.1%
1	1365	15.5%
2	1040	11.8%
5	827	9.4%
3	819	9.3%
4	577	6.5%
6	431	4.9%
7	415	4.7%
8	386	4.4%
9	312	3.5%

Space Separator

Value	Count	Frequency (%)
	179143	> 99.9%
	7	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	157	99.4%
]	1	0.6%

Open Punctuation

Value	Count	Frequency (%)
(	139	99.3%
[	1	0.7%

Control

Value	Count	Frequency (%)
	32	97.0%
	1	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1642	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	67	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	7	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Other Symbol

Value	Count	Frequency (%)
°	3	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	893623	80.9%
Common	210633	19.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	104790	11.7%
t	81829	9.2%
a	79836	8.9%
n	68037	7.6%
i	65785	7.4%
r	63354	7.1%
o	62537	7.0%
h	42752	4.8%
s	39752	4.4%
d	38361	4.3%
Other values (56)	246590	27.6%

Common

Value	Count	Frequency (%)
	179143	85.0%
.	13466	6.4%
,	5709	2.7%
0	2661	1.3%
-	1642	0.8%
1	1365	0.6%
2	1040	0.5%
5	827	0.4%
3	819	0.4%
'	770	0.4%
Other values (25)	3191	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1104114	> 99.9%
None	72	< 0.1%
Punctuation	70	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	179143	16.2%
e	104790	9.5%
t	81829	7.4%
a	79836	7.2%
n	68037	6.2%
i	65785	6.0%
r	63354	5.7%
o	62537	5.7%
h	42752	3.9%
s	39752	3.6%
Other values (73)	316299	28.6%

Punctuation

Value	Count	Frequency (%)
’	67	95.7%
‘	3	4.3%

None

Value	Count	Frequency (%)
é	20	27.8%
á	15	20.8%
í	8	11.1%
	7	9.7%
ó	3	4.2%
°	3	4.2%
ö	3	4.2%
ü	2	2.8%
ð	2	2.8%
ã	2	2.8%
Other values (6)	7	9.7%

year
Real number (ℝ)

Distinct	107
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1970.923

Minimum	1915
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1915
5-th percentile	1931
Q1	1951
median	1970
Q3	1992
95-th percentile	2010
Maximum	2021
Range	106
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	24.632185
Coefficient of variation (CV)	0.012497791
Kurtosis	-0.96532199
Mean	1970.923
Median Absolute Deviation (MAD)	20
Skewness	-0.024044307
Sum	9858557
Variance	606.74452
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1946	88	1.8%
1989	83	1.7%
1947	82	1.6%
1948	78	1.6%
1962	78	1.6%
1972	77	1.5%
1945	75	1.5%
1951	75	1.5%
1994	74	1.5%
1970	73	1.5%
Other values (97)	4219	84.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1915	2	< 0.1%
1916	5	0.1%
1917	7	0.1%
1918	4	0.1%
1919	9	0.2%
1920	18	0.4%
1921	12	0.2%
1922	13	0.3%
1923	13	0.3%
1924	7	0.1%

Value	Count	Frequency (%)
2021	7	0.1%
2020	8	0.2%
2019	13	0.3%
2018	19	0.4%
2017	15	0.3%
2016	23	0.5%
2015	18	0.4%
2014	23	0.5%
2013	25	0.5%
2012	26	0.5%

Auto

Heatmap
Table

	all_aboard	PASAJEROS A BORDO	crew_aboard	cantidad de fallecidos	passenger_fatalities	crew_fatalities	ground	year
all_aboard	1.000	0.966	0.667	0.745	0.781	0.368	0.038	0.171
PASAJEROS A BORDO	0.966	1.000	0.503	0.708	0.819	0.232	0.020	0.165
crew_aboard	0.667	0.503	1.000	0.521	0.379	0.689	0.099	0.109
cantidad de fallecidos	0.745	0.708	0.521	1.000	0.940	0.680	-0.007	0.110
passenger_fatalities	0.781	0.819	0.379	0.940	1.000	0.457	-0.025	0.109
crew_fatalities	0.368	0.232	0.689	0.680	0.457	1.000	0.041	0.041
ground	0.038	0.020	0.099	-0.007	-0.025	0.041	1.000	0.057
year	0.171	0.165	0.109	0.110	0.109	0.041	0.057	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	fecha	Ruta	OperadOR	route	ac_type	all_aboard	PASAJEROS A BORDO	crew_aboard	cantidad de fallecidos	passenger_fatalities	crew_fatalities	summary	year
6	1915-03-05	Tienen, Belgium	Military - German Navy	NaN	Zeppelin L-8 (airship)	41.0	0.0	41.0	17.0	0.0	17.0	Crashed into trees while attempting to land after being shot down by British and French aircraft.	1915
7	1915-09-03	Off Cuxhaven, Germany	Military - German Navy	NaN	Zeppelin L-10 (airship)	19.0	NaN	NaN	19.0	NaN	NaN	Exploded and burned near Neuwerk Island, when hydrogen gas, being vented, was ignited by lightning.	1915
8	1916-07-28	Near Jambol, Bulgeria	Military - German Army	NaN	Schutte-Lanz S-L-10 (airship)	20.0	NaN	NaN	20.0	NaN	NaN	Crashed near the Black Sea, cause unknown.	1916
9	1916-09-24	Billericay, England	Military - German Navy	NaN	Zeppelin L-32 (airship)	22.0	NaN	NaN	22.0	NaN	NaN	Shot down by British aircraft crashing in flames.	1916
10	1916-10-01	Potters Bar, England	Military - German Navy	NaN	Zeppelin L-31 (airship)	19.0	0.0	19.0	19.0	0.0	19.0	Shot down in flames by the British 39th Home Defence Squadron.	1916
11	1916-11-21	Mainz, Germany	Military - German Army	NaN	Super Zeppelin (airship)	28.0	NaN	NaN	27.0	NaN	NaN	Crashed in a storm.	1916
12	1916-11-28	Off West Hartlepool, England	Military - German Navy	NaN	Zeppelin L-34 (airship)	20.0	NaN	NaN	20.0	NaN	NaN	Shot down by British anti-aircraft fire and aircraft and crashed into the North Sea.	1916
13	1917-03-04	Near Gent, Belgium	Military - German Army	NaN	Airship	20.0	NaN	NaN	20.0	NaN	NaN	Caught fire and crashed.	1917
14	1917-03-30	Off Northern Germany	Military - German Navy	NaN	Schutte-Lanz S-L-9 (airship)	23.0	NaN	NaN	23.0	NaN	NaN	Struck by lightning and crashed into the Baltic Sea.	1917
15	1917-05-14	Near Texel Island, North Sea	Military - German Navy	NaN	Zeppelin L-22 (airship)	21.0	NaN	NaN	21.0	NaN	NaN	Crashed into the sea from an altitude of 3,000 ft. after being hit by British aircraft fire.	1917

	fecha	Ruta	OperadOR	route	ac_type	all_aboard	PASAJEROS A BORDO	crew_aboard	cantidad de fallecidos	passenger_fatalities	crew_fatalities	ground	summary	year
4998	2020-08-07	Calicut, India	Air India Exppress	Dubai - Calicut	Boeing 737-8HG	190.0	184.0	6.0	20.0	18.0	2.0	0.0	The flight IX344 suffered a runway excursion while landing at Kozhikode-Calicut Airport in heavy rain. The nose section separated from the fuselage after going down a steep slope at the end of the runway. The pilot and copilot were among the dead. Low visibility, wet runway, low cloud base and poor braking action possibly contributed to the accident.	2020
4999	2020-08-22	Juba, South Sudan	South West Aviaiton	Juba - Wau	Antonov 26B	8.0	5.0	3.0	7.0	4.0	3.0	0.0	The cargo plane lost height shortly after departure from Juba Airport and impacted a farm near Hai Referendum about 3nm southwest of the airport. One passenger survived in critical condition. The plane was chartered by the World Food Program to transport supplies and wages to Wau and Aweil.	2020
5000	2020-09-25	Near Chuguev, Ukraine	Military - Ukraine Air Force	Training	Antonov An26SH	27.0	20.0	7.0	26.0	19.0	7.0	0.0	The military transport, crashed 1.2 miles from Chuguev air base. The plane was carrying cadets from a nearby air force university on a training flight. The crew may have reported failure of an engine prior to the accident.	2020
5001	2021-01-09	Near Jakarta, Indonesia	Sriwijaya Air	Jakarta - Pontianak	Boeing 737-524	62.0	56.0	6.0	62.0	56.0	6.0	0.0	Sriwijaya Air flight 182 was climbing through 10,900 ft., 11 nm north of Jakarta-Soekarno-Hatta International Airport, over the Java Sea when radar and radio contact was lost. The aircraft then lost height rapidly and impacted the Java Sea. Debris was located near Lancang Island.	2021
5002	2021-03-02	Pieri, Sudan	South Sudan Supreme Airlines	Pieri - Yuai	Let L-410UVP-E	10.0	8.0	2.0	10.0	8.0	2.0	0.0	One of the engines on the aircraft failed 10 minutes after takeof. When the plane turned back, the second engine failed.	2021
5003	2021-03-28	Near Butte, Alaska	Soloy Helicopters	Sightseeing Charter	Eurocopter AS350B3 Ecureuil	6.0	5.0	1.0	5.0	4.0	1.0	0.0	The sightseeing helicopter crashed after missing the top of a 6,000 ft mountain by just 10 - 15 ft. The crash site was near Knik glacier. The pilot, and four others were killed including Czech billionaire Petr Kellner.	2021
5004	2021-05-21	Near Kaduna, Nigeria	Military - Nigerian Air Force	NaN	Beechcraft B300 King Air 350i	11.0	7.0	4.0	11.0	7.0	4.0	0.0	While on final approach, in poor weather conditions, the aircraft crashed and burst into flames less than 10 km from Kaduna Airport. All 11 occupants were killed, incuding General Ibrahim Attahiru, Chief of Staff of the Nigerian Army.	2021
5005	2021-06-10	Near Pyin Oo Lwin, Myanmar	Military - Myanmar Air Force	Naypyidaw - Anisakan	Beechcraft 1900D	14.0	12.0	2.0	12.0	11.0	1.0	0.0	The plane was carrying military personnel and monks when it crashed about 300 meters from a steel plant in the Mandalay region. The plane was attempting to land in poor weather conditions and broke into three pieces.	2021
5006	2021-07-04	Patikul, Sulu, Philippines	Military - Philippine Air Force	Cagayan de Oro-Lumbia - Jolo	Lockheed C-130H Hercules	96.0	88.0	8.0	50.0	NaN	NaN	3.0	While attempting to land at Jolo Airport, the military transport overran the runway, struck two houses and burst into flames coming to rest on a coconut plantation.	2021
5007	2021-07-06	Palana, Russia	Kamchatka Aviation Enterprise	Petropavlovsk - Palana	Antonov An 26B-100	28.0	22.0	6.0	28.0	22.0	6.0	0.0	The passenger plane crashed into the top of a cliff while attempting to land in inclement weather. The debris fell into the sea. Contact was lost with the plane 10 minutes before it was to land.	2021

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Control

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Control

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Control

Final Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator